to design, develop, and deploy machine learning and artificial intelligence solutions that solve complex business problems. The ideal candidate will bridge the gap between data science and engineering, ensuring scalable, production-ready AI systems.
Key Responsibilities
Design and implement machine learning models and deep learning architectures.
Collaborate with data scientists to translate prototypes into production-ready solutions.
Optimize algorithms for performance, scalability, and accuracy.
Integrate AI models into applications, APIs, and cloud platforms.
Monitor, evaluate, and retrain models to maintain accuracy over time.
Stay updated with the latest AI/ML research and tools.
Required Skills & Qualifications
Strong programming skills in Python, Java, or C++.
Experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn).
Knowledge of data preprocessing, feature engineering, and model evaluation.
Familiarity with cloud services (AWS, Azure, GCP).
Understanding of MLOps practices (CI/CD, model deployment, monitoring).
Bachelor's/Master's in Computer Science, AI, Data Science, or related field.
Preferred Qualifications
Experience with NLP, computer vision, or reinforcement learning.Contributions to open-source AI projects or published research.Strong problem-solving and communication skills.
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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